Overview
For a leading telecommunications provider operating across multiple sectors, financial reporting had become a liability rather than an asset.
The company was processing financial data from multiple sources through manual, Excel-based workflows, computing key metrics by hand, feeding them into dashboards, and repeating the cycle with no single source of truth. Data inconsistencies across sectors, high IT dependency, and slow report turnaround were limiting the business's ability to make timely decisions.
The company partnered with Evalueserve and Google Cloud to replace this fragmented process with a unified financial analytics platform built on BigQuery and Looker, delivering real-time data access, self-service reporting, and a foundation for future AI and ML capabilities.
Challenge
The company's existing approach to financial reporting created compounding inefficiencies across the business.
Key challenges included:
- Manual, Excel-driven processing of financial data from multiple sources, created inconsistency and version control issues
- Complex data structures and high data volumes made queries slow and reporting difficult to scale
- No real-time access to financial metrics, with reports produced on a lag and limited visibility for timely, in-period decision-making
- Heavy IT dependency for every new report or dashboard request, slowed down business teams
- Fragmented KPI definitions across sectors, making cross-functional analysis unreliable
The team needed a unified, governed analytics platform that could scale with the business, reduce manual overhead, and give both business users and IT a shared, trusted foundation.
Our Solution: Financial Analytics Modernization on Google Cloud and Looker
Evalueserve partnered with the client to design and implement a modern financial analytics platform, combining Google Cloud's data infrastructure with Looker's self-service BI capabilities.
Google Cloud: A Single Source of Truth for Financial Data
- Designed and implemented ETL pipelines to consolidate financial data from multiple source systems into a unified data layer.
- Built on BigQuery to deliver fast query performance at scale, replacing slow, volume-constrained legacy processes.
- Established real-time data access, eliminating the lag inherent in manual extract and reporting cycles.
- Implemented data governance, security controls, and masking policies to meet compliance requirements
Looker: Self-Service Analytics for Business Teams
- Migrated reporting workflows from Excel and manual processes into governed, reusable Looker dashboards
- Standardized 20 KPIs across sectors, creating consistent analytical language across the business.
- Optimized 5+ dashboards to give finance and business teams direct access to the metrics they need.
- Reduced dependency on IT for report creation, empowering business users to build and customize their own views
A Platform Built for What Comes Next
- The BigQuery and Looker foundation is architected to support future Vertex AI and Gemini integration, enabling predictive analytics and natural language querying as the next phase of the platform's evolution
Business Impact
By moving from manual, Excel-based reporting to a unified analytics platform on Google Cloud and Looker, the client achieved immediate and measurable improvements across efficiency, cost, governance, and business agility.
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40% improvement in operational efficiency through streamlined report generation and faster data access
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50% reduction in costs from reduced licensing overhead and simplified infrastructure
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5+ dashboards optimized with standardized, governed metrics across sectors
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20 KPIs standardized, creating consistent financial definitions across the business
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60% reduction in IT dependency for report creation and adjustments
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30% improvement in query performance through BigQuery's scalable infrastructure
Talk to One of Our Experts
Get in touch today to find out about how Evalueserve can help you improve your processes, making you better, faster and more efficient.